arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2005.04826quant-phcs.CR
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量子性的简单证明

Simpler Proofs of Quantumness

Zvika Brakerski, Venkata Koppula, Umesh Vazirani, Thomas Vidick

摘要:

量子性证明是一种方法,用于证明(向经典验证者)量子设备可以执行具有可比资源的经典设备无法执行的计算任务。提供量子性的证明是构建有用的量子计算机的第一步。目前有三种方法来证明量子性:(i)反转经典硬单向函数(例如使用Shor算法)。这在技术上似乎遥不可及。(ii)从经典的难以采样的分布中采样(例如BosonSampling)。这可能在近期实验的范围内,但对于所有这些已知的任务,验证需要指数时间。(iii)基于密码学假设的交互式协议。使用活板门方案可以进行有效的核查,而且实施所需的资源似乎比(i)项少得多,但仍比(ii)项多。在这项工作中,我们提出了一个显着的简化方法(iii)采用随机预言启发式。(We注意,我们不应用Fiat-Shamir范式。)我们给出了一个基于任何陷门无爪函数的量子性的双消息(挑战-响应)证明。与先前的建议相反,我们不需要自适应硬核位属性。这允许使用更小的安全参数和更多样化的计算假设(例如带错误的环学习),大大减少了成功演示所需的量子计算工作。

英文摘要:

A proof of quantumness is a method for provably demonstrating (to a classical verifier) that a quantum device can perform computational tasks that a classical device with comparable resources cannot. Providing a proof of quantumness is the first step towards constructing a useful quantum computer. There are currently three approaches for exhibiting proofs of quantumness: (i) Inverting a classically-hard one-way function (e.g. using Shor's algorithm). This seems technologically out of reach. (ii) Sampling from a classically-hard-to-sample distribution (e.g. BosonSampling). This may be within reach of near-term experiments, but for all such tasks known verification requires exponential time. (iii) Interactive protocols based on cryptographic assumptions. The use of a trapdoor scheme allows for efficient verification, and implementation seems to require much less resources than (i), yet still more than (ii). In this work we propose a significant simplification to approach (iii) by employing the random oracle heuristic. (We note that we do not apply the Fiat-Shamir paradigm.) We give a two-message (challenge-response) proof of quantumness based on any trapdoor claw-free function. In contrast to earlier proposals we do not need an adaptive hard-core bit property. This allows the use of smaller security parameters and more diverse computational assumptions (such as Ring Learning with Errors), significantly reducing the quantum computational effort required for a successful demonstration.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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